code: def test_repeated_points_large_sparse_binary(
      sparse_binary_data_repeats,
  ):
      model = UMAP(
          n_neighbors=3,
          unique=True,
          force_approximation_algorithm=True,
          n_epochs=50,
      ).fit(sparse_binary_data_repeats)
      assert np.unique(model.embedding_[0:2], axis=0).shape[0] == 1
  
file_path: umap/umap/tests/test_umap_repeated_data.py
imports: import numpy
  from umap import UMAP
label_desc: Use image node_id 5 for calling a global function with example usage: test_repeated_points_large_sparse_binary(sparse_binary_data_repeats) without return types